公开(公告)号：US20160032719A1

公开(公告)日：2016-02-04

申请号：US14240611

申请日：2013-03-08

Applicant: HALLIBURTON ENERGY SERVICES

Inventor： Dingding Chen ,  David Perkins ,  Jing Cynthia Shen ,  Christopher Michael Jones

IPC: E21B49/08 ,  G01N21/84

CPC classification number: E21B49/08 ,  G01N21/274 ,  G01N21/31 ,  G01N21/3577 ,  G01N21/84 ,  G01N33/2823 ,  G01N2201/1296

Abstract: Systems and methods for optical fluid identification approximation and calibration are described herein. One example method includes populating a database with a calculated pseudo optical sensor (CPOS) response of a first optical tool to a first sample fluid. The CPOS response of the first optical tool may be based on a transmittance spectrum of a sample fluid and may comprise a complex calculation using selected components of the first optical tool. A first model may be generated based, at least in part, on the database. The first model may receive as an input an optical sensor response and output a predicted fluid property. A second model may also be generated based, at least in part, on the database. The second model may receive as an input at least one known/measured fluid/environmental property value and may output a predicted pseudo optical sensor response of the first optical tool.

Abstract translation: 本文描述了用于光学流体识别近似和校准的系统和方法。 一个示例性方法包括使用第一光学工具的计算的伪光学传感器（CPOS）响应将数据库填充到第一样品流体。 第一光学工具的CPOS响应可以基于样品流体的透射光谱，并且可以包括使用第一光学工具的选定部件的复杂计算。 可以至少部分地基于数据库生成第一模型。 第一模型可以作为输入接收光学传感器响应并输出预测的流体特性。 也可以至少部分地基于数据库生成第二模型。 第二模型可以作为输入接收至少一个已知/测量的流体/环境属性值，并且可以输出第一光学工具的预测的伪光学传感器响应。

公开(公告)号：US20150346087A1

公开(公告)日：2015-12-03

申请号：US14408725

申请日：2011-12-20

Applicant: HALLIBURTON ENERGY SERVICES, INC.

Inventor： Neal G. Skinner

IPC: G01N21/31 ,  G01N21/27

CPC classification number: G01N21/31 ,  G01J3/00 ,  G01J3/2803 ,  G01J3/32 ,  G01J2003/1226 ,  G01N21/255 ,  G01N21/27 ,  G01N21/314 ,  G01N21/552 ,  G01N2201/06113 ,  G01N2201/062 ,  G01N2201/12 ,  G01N2201/1296 ,  G02B5/285

Abstract: Optical computing devices including a light source that emits electromagnetic radiation into an optical train extending from the light source to a detector, a substance arranged in the optical train and configured to optically interact with the electromagnetic radiation and produce sample interacted radiation, a processor array arranged in the optical train and including a plurality of ICE arranged on a substrate and configured to optically interact with the electromagnetic radiation. The detector receives modified electromagnetic radiation generated through optical interaction of the electromagnetic radiation with the substance and the processor array. A weighting device is coupled to one or more of the ICE to optically apply a weighting factor to the modified electromagnetic radiation prior to being received by the detector, wherein the detector generates an output signal indicative of a characteristic of the substance based on beams of modified electromagnetic radiation.

Abstract translation: 光学计算设备，包括将电磁辐射发射到从光源延伸到检测器的光学系列中的光源，布置在光学系列中并被配置为与电磁辐射光学相互作用并产生样品相互作用的辐射的物质;布置的处理器阵列 并且包括布置在基板上并被配置为与电磁辐射光学相互作用的多个ICE。 检测器接收通过电磁辐射与物质和处理器阵列的光学相互作用产生的修改的电磁辐射。 加权装置耦合到ICE中的一个或多个，以在由检测器接收之前将加权因子光学地应用于修改的电磁辐射，其中，所述检测器基于经修改的光束来生成指示所述物质的特征的输出信号 电磁辐射。

公开(公告)号：US20130338479A1

公开(公告)日：2013-12-19

申请号：US13140748

申请日：2009-12-18

Applicant: Brian William Pogue ,  Venkataramanan Krishnaswamy ,  Keith D. Paulsen ,  Pilar Beatriz Garcia Allende ,  Olga Maria Conde ,  José Miguel Lopez-Higuera

Inventor： Brian William Pogue ,  Venkataramanan Krishnaswamy ,  Keith D. Paulsen ,  Pilar Beatriz Garcia Allende ,  Olga Maria Conde ,  José Miguel Lopez-Higuera

IPC: A61B5/00 ,  A61B5/145

CPC classification number: A61B5/0068 ,  A61B5/0059 ,  A61B5/0062 ,  A61B5/0071 ,  A61B5/14546 ,  A61B5/7264 ,  A61B5/7267 ,  A61B5/742 ,  A61B2576/00 ,  G01J3/02 ,  G01J3/0208 ,  G01J3/021 ,  G01J3/0218 ,  G01J3/06 ,  G01J3/10 ,  G01J3/2823 ,  G01N21/4795 ,  G01N21/6428 ,  G01N21/6458 ,  G01N2021/6417 ,  G01N2021/6471 ,  G01N2021/6484 ,  G01N2201/0221 ,  G01N2201/0618 ,  G01N2201/1296 ,  G06F19/3481 ,  G16H40/63

Abstract: A method and apparatus is described for optically scanning a field of view, the field of view including at least part of an organ as exposed during surgery, and for identifying and classifying areas of tumor within the field of view. The apparatus obtains a spectrum at each pixel of the field of view, and classifies pixels with a kNN-type or neural network classifier previously trained on samples of tumor and organ classified by a pathologist. Embodiments use statistical parameters extracted from each pixel and neighboring pixels. Results are displayed as a color-encoded map of tissue types to the surgeon. In variations, the apparatus provides light at one or more fluorescence stimulus wavelengths and measures the fluorescence light spectrum emitted from tissue corresponding to each stimulus wavelength. The measured emitted fluorescence light spectra are further used by the classifier to identify tissue types in the field of view.

Abstract translation: 描述了用于光学扫描视野的方法和装置，视野包括在外科手术期间暴露的器官的至少一部分，以及用于识别和分类视野内的肿瘤区域。 该装置在视场的每个像素处获得光谱，并且使用先前已经由病理学家分类的肿瘤和器官样本训练的kNN型或神经网络分类器对像素进行分类。 实施例使用从每个像素和相邻像素提取的统计参数。 结果显示为外科医生的组织类型的颜色编码图。 在变型中，该装置在一个或多个荧光刺激波长处提供光，并测量从对应于每个刺激波长的组织发射的荧光光谱。 测量的发射荧光光谱被分类器进一步用于鉴定视野中的组织类型。

公开(公告)号：US20130031971A1

公开(公告)日：2013-02-07

申请号：US13204123

申请日：2011-08-05

Applicant: Robert P. Freese ,  Christopher M. Jones ,  Michael T. Pelletier ,  Rory D. Daussin ,  David M. Loveless ,  Johanna Haggstrom

Inventor： Robert P. Freese ,  Christopher M. Jones ,  Michael T. Pelletier ,  Rory D. Daussin ,  David M. Loveless ,  Johanna Haggstrom

IPC: E21B47/10

CPC classification number: G01N21/85 ,  C09K8/62 ,  E21B43/26 ,  E21B43/28 ,  E21B2049/085 ,  G01N2201/1296

Abstract: In or near real-time monitoring of fluids can take place using an opticoanalytical device that is configured for monitoring the fluid. Fluids can be monitored prior to or during their introduction into a subterranean formation using the opticoanalytical devices. Produced fluids from a subterranean formation can be monitored in a like manner. The methods can comprise providing a fracturing fluid comprising a base fluid and at least one fracturing fluid component; introducing the fracturing fluid into a subterranean formation at a pressure sufficient to create or enhance at least one fracture therein, thereby performing a fracturing operation in the subterranean formation; and monitoring a characteristic of the fracturing fluid or a formation fluid using at least a first opticoanalytical device within the subterranean formation, during a flow back of the fracturing fluid produced from the subterranean formation, or both.

Abstract translation: 可以使用配置用于监测流体的光学分析装置来进行或接近实时监测流体。 可以使用光学分析装置在将其引入地下地层之前或期间监测流体。 可以以类似的方式监测来自地下地层的液体。 该方法可以包括提供包括基础流体和至少一个压裂流体组分的压裂流体; 将压裂流体以足以产生或增强其中的至少一个裂缝的压力引入地下地层，从而在地层中进行压裂作业; 以及在从地下地层产生的压裂流体的回流期间或两者中，使用至少第一光学分析装置在地下地层内监测压裂液或地层流体的特性。

公开(公告)号：US20110213746A1

公开(公告)日：2011-09-01

申请号：US12713318

申请日：2010-02-26

Applicant: Edita Botonjic-Sehic ,  James H. Grassi ,  Hacene Boudries ,  Ivan E. Freeman, JR. ,  Young Kyo Lee ,  Sridhar Venkataraman Dasaratha ,  Thirukazhukundram Subrahmaniam Vignesh ,  Saratchandra Shanmukh ,  Malathi Yarra

Inventor： Edita Botonjic-Sehic ,  James H. Grassi ,  Hacene Boudries ,  Ivan E. Freeman, JR. ,  Young Kyo Lee ,  Sridhar Venkataraman Dasaratha ,  Thirukazhukundram Subrahmaniam Vignesh ,  Saratchandra Shanmukh ,  Malathi Yarra

IPC: G06N7/02 ,  C40B30/02 ,  C40B60/12 ,  G06F17/30

CPC classification number: G01N21/65 ,  G01J3/02 ,  G01J3/0264 ,  G01J3/0272 ,  G01J3/0283 ,  G01J3/44 ,  G01N2201/0221 ,  G01N2201/1293 ,  G01N2201/1296

Abstract: A method for analyzing a mixture includes identifying a plurality of possible components of the mixture, calculating at least one feature for at least a portion of the plurality of possible components, and calculating a probability value for at least a portion of the plurality of possible components based on the at least one feature and at least one transfer function

Abstract translation: 一种用于分析混合物的方法包括识别所述混合物的多个可能的分量，计算所述多个可能分量的至少一部分的至少一个特征，以及计算所述多个可能分量的至少一部分的概率值 基于所述至少一个特征和至少一个传递函数

公开(公告)号：US07835786B2

公开(公告)日：2010-11-16

申请号：US11493020

申请日：2006-07-25

Applicant: Gregory M. Palmer ,  Nirmala Ramanujam

Inventor： Gregory M. Palmer ,  Nirmala Ramanujam

IPC: A61B6/00 ,  G01J3/30 ,  G02B6/06

CPC classification number: G01N21/4738 ,  G01N2021/4742 ,  G01N2021/4752 ,  G01N2201/1296

Abstract: Methods, systems, and computer program products for optimizing a probe geometry for spectroscopic measurement in a turbid medium are provided. A probe geometry comprising one emitting entity and at least on collecting entity is selected. A simulation is performed to generate optical parameter values measured by the probe geometry. The measured optical parameter values are input to an inversion algorithm to produce corresponding optical properties as output. The produced optical properties are compared with known optical properties known and a degree of matching between the produced optical properties and the known optical properties is determined. The simulation and inversion steps are repeated for a plurality of additional probe geometries, each differing in at least one property. An optimization algorithm is applied at each iteration to select an optimal probe geometry.

Abstract translation: 提供了用于优化用于浑浊介质中的光谱测量的探针几何的方法，系统和计算机程序产品。 选择包括一个发射实体和至少在收集实体上的探针几何形状。 进行模拟以产生由探针几何测量的光学参数值。 测量的光学参数值被输入到反演算法中以产生相应的光学特性作为输出。 将所产生的光学性质与已知的已知光学性能进行比较，并且确定所产生的光学性质和已知的光学性质之间的匹配程度。 针对多个额外的探针几何重复模拟和反转步骤，每个不同于至少一个属性。 在每次迭代中应用优化算法以选择最佳探针几何。

公开(公告)号：US07808633B2

公开(公告)日：2010-10-05

申请号：US12070010

申请日：2008-02-14

Applicant: John Maier ,  Jeffrey Cohen ,  Janice L. Panza ,  Amy J. Drauch

Inventor： John Maier ,  Jeffrey Cohen ,  Janice L. Panza ,  Amy J. Drauch

IPC: G01J3/44 ,  G01N21/65

CPC classification number: G01N21/65 ,  G01J3/02 ,  G01J3/0291 ,  G01J3/0294 ,  G01J3/2823 ,  G01J3/44 ,  G01J2003/2826 ,  G01N2021/656 ,  G01N2201/1293 ,  G01N2201/1296

Abstract: A system and method to predict the progression of disease of a test sample. A group of known biological samples is provided. Each known biological sample has an associated known outcome including a non-diseased sample or a diseased sample. A Raman data set is obtained for each known biological sample. Each Raman data set is analyzed to identify a diseased or non-diseased reference Raman data set depending on whether respective biological sample is the non-diseased sample or the diseased sample. A first database is generated where the first database contains reference Raman data sets for all diseased samples. A second database is generated where the second database contains reference Raman data sets for all non-diseased samples. A test Raman data set of a test biological sample is received, where the test biological sample has an unknown disease status. A diagnostic is provided as to whether the test sample is a non-diseased sample or a diseased sample. The diagnostic is obtained by comparing the test Raman data set against the reference Raman data sets in the first and the second databases using a chemometric technique. A prediction of the progression of disease may be then provided.

Abstract translation: 一种预测测试样本疾病进展的系统和方法。 提供了一组已知的生物样品。 每个已知的生物样品具有相关的已知结果，包括非患病样品或患病样品。 获得每个已知生物样品的拉曼数据集。 分析每个拉曼数据集，以根据相应的生物样品是非患病样品还是患病样品来鉴定患病或非患病参考拉曼数据集。 生成第一个数据库，其中第一个数据库包含所有患病样本的参考拉曼数据集。 生成第二数据库，其中第二数据库包含所有非患病样本的参考拉曼数据集。 接受测试生物样品的测试拉曼数据集，其中测试生物样品具有未知的疾病状态。 提供了关于测试样品是否是非患病样品或患病样品的诊断。 通过使用化学计量技术将测试拉曼数据集与第一和第二数据库中的参考拉曼数据集进行比较来获得诊断。 可以提供疾病进展的预测。

公开(公告)号：US20090030631A1

公开(公告)日：2009-01-29

申请号：US11858442

申请日：2007-09-20

Applicant: Chun Hung Ko ,  Yi Sha Ku ,  Chung Chu Chang

Inventor： Chun Hung Ko ,  Yi Sha Ku ,  Chung Chu Chang

IPC: G06F19/00

CPC classification number: G01N21/47 ,  G01B21/08 ,  G01B21/20 ,  G01N21/211 ,  G01N2201/1296

Abstract: A method for improving the measurement capability of multi-parameter inspection systems includes performing a measuring procedure to acquire a measured signature of a sample, calculating weighting factors representing a correlation between structural parameters of the sample by using a weighting algorithm, transforming the weighting factors into a sampling function by using a transforming rule, updating the measured signature to form an updated measured signature and generating a plurality of updated nominal signatures according to the sampling function, and comparing the updated measured signature and the updated nominal signatures to determine the structural parameters of the sample.

Abstract translation: 一种用于提高多参数检测系统的测量能力的方法，包括执行测量程序以获取样本的测量签名，通过使用加权算法来计算表示样本的结构参数之间的相关性的加权因子，将加权因子转换成 通过使用变换规则的采样函数，更新测量的签名以形成更新的测量签名并根据采样函数生成多个更新的标称签名，以及比较更新的测量签名和更新的标称签名，以确定 例子。

公开(公告)号：US20080319324A1

公开(公告)日：2008-12-25

申请号：US12206500

申请日：2008-09-08

Applicant: John Maier ,  Shona Stewart ,  Jeffrey Cohen

Inventor： John Maier ,  Shona Stewart ,  Jeffrey Cohen

IPC: A61B6/00

CPC classification number: G01J3/02 ,  A61B5/0059 ,  A61B5/417 ,  G01J3/0291 ,  G01J3/0294 ,  G01J3/28 ,  G01J3/2823 ,  G01J3/36 ,  G01J3/44 ,  G01J2003/2826 ,  G01N21/65 ,  G01N33/57415 ,  G01N2021/656 ,  G01N2201/1293 ,  G01N2201/1296 ,  Y02A90/26

Abstract: A system and method to provide a diagnosis of the breast disease state of a test breast sample. A database containing a plurality of reference Raman data sets is provided where each reference Raman data set has an associated known breast sample and an associated known breast disease state. A test breast sample is irradiated with substantially monochromatic light to generate scattered photons resulting in a test Raman data set. The test Raman data set is compared to the plurality of reference Raman data sets using a chemometric technique. Based on the comparison, a diagnosis of a breast disease state of the test breast sample is provided. The breast disease state includes invasive ductal carcinoma or invasive lobular carcinoma disease state.

Abstract translation: 一种用于提供测试乳房样品的乳腺疾病状态诊断的系统和方法。 提供了包含多个参考拉曼数据集的数据库，其中每个参考拉曼数据集具有相关联的已知乳房样本和相关联的已知乳腺疾病状态。 用基本上单色的光照射测试乳房样品以产生散射光子，得到测试拉曼数据集。 使用化学计量技术将测试拉曼数据集与多个参考拉曼数据集进行比较。 基于比较，提供了测试乳房样品的乳腺疾病状态的诊断。 乳腺疾病状态包括浸润性导管癌或侵袭性小叶癌疾病状态。

公开(公告)号：US20060235616A1

公开(公告)日：2006-10-19

申请号：US11229435

申请日：2005-09-15

Applicant: Sonia Gallegos ,  Juanita Sandidge ,  Xiaogang Chen ,  Cynthia Daniels ,  Chiu-Fu Cheng

Inventor： Sonia Gallegos ,  Juanita Sandidge ,  Xiaogang Chen ,  Cynthia Daniels ,  Chiu-Fu Cheng

IPC: G06F19/00

CPC classification number: G01N21/59 ,  G01N2201/1296

Abstract: A method for predicting water clarity at a plurality of water depths for a location including providing training data to a neural network, the training data representative of water measurements at the location, thereafter receiving inputs including temperature, salinity, tidal information, water depth, and sediment data, and generating values for optical attenuation at a wavelength at a plurality of depths. In one embodiment, a default cloudy day algorithm operates at all times and a clear sky algorithm operates only when clear satellite images are available.

Abstract translation: 一种用于预测多个水深的水透明度的方法，包括向神经网络提供训练数据，所述训练数据表示所述位置处的水测量，此后接收包括温度，盐度，潮汐信息，水深以及 沉积物数据，以及在多个深度的波长处产生光学衰减的值。 在一个实施例中，默认的多云天算法始终运行，并且晴天算法仅在清晰的卫星图像可用时才进行操作。